Year |
Citation |
Score |
2013 |
Park IM, Seth S, Paiva ARC, Li L, Principe JC. Kernel methods on spike train space for neuroscience: A tutorial Ieee Signal Processing Magazine. 30: 149-160. DOI: 10.1109/Msp.2013.2251072 |
0.742 |
|
2010 |
Paiva ARC, Park I, Príncipe JAC. Inner Products for Representation and Learning in the Spike Train Domain Statistical Signal Processing For Neuroscience and Neurotechnology. 265-309. DOI: 10.1016/B978-0-12-375027-3.00008-9 |
0.614 |
|
2010 |
Paiva ARC, Park I, Príncipe JC. A comparison of binless spike train measures Neural Computing and Applications. 19: 405-419. DOI: 10.1007/S00521-009-0307-6 |
0.67 |
|
2009 |
Wang Y, Paiva AR, Príncipe JC, Sanchez JC. Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces. Neural Computation. 21: 2894-930. PMID 19548797 DOI: 10.1162/Neco.2009.01-08-699 |
0.689 |
|
2009 |
Paiva AR, Park I, Príncipe JC. A reproducing kernel Hilbert space framework for spike train signal processing. Neural Computation. 21: 424-49. PMID 19431265 DOI: 10.1162/Neco.2008.09-07-614 |
0.712 |
|
2008 |
Paiva AR, Park I, Sanchez JC, Príncipe JC. Peri-event cross-correlation over time for analysis of interactions in neuronal firing. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2008: 1903-6. PMID 19163061 DOI: 10.1109/IEMBS.2008.4649558 |
0.643 |
|
2008 |
Park I, Paiva AR, Demarse TB, Príncipe JC. An efficient algorithm for continuous time cross correlogram of spike trains. Journal of Neuroscience Methods. 168: 514-23. PMID 18054082 DOI: 10.1016/J.Jneumeth.2007.10.005 |
0.66 |
|
2008 |
Xu J, Paiva ARC, Park I, Principe JC. A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning Ieee Transactions On Signal Processing. 56: 5891-5902. DOI: 10.1109/Tsp.2008.2005085 |
0.682 |
|
2008 |
Paiva ARC, Park I, Príncipe JC. Reproducing kernel Hilbert spaces for spike train analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5212-5215. DOI: 10.1109/ICASSP.2008.4518834 |
0.691 |
|
2007 |
Cho J, Paiva AR, Kim SP, Sanchez JC, Príncipe JC. Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks : the Official Journal of the International Neural Network Society. 20: 274-84. PMID 17234384 DOI: 10.1016/J.Neunet.2006.12.002 |
0.701 |
|
2007 |
Park I, Paiva ARC, Príncipe JC, Harris JG. A closed form solution for multiple-input spike based adaptive filters Ieee International Conference On Neural Networks - Conference Proceedings. 2064-2068. DOI: 10.1109/IJCNN.2007.4371276 |
0.582 |
|
2007 |
Paiva ARC, Rao S, Park I, Príncipe JC. Spectral clustering of synchronous spike trains Ieee International Conference On Neural Networks - Conference Proceedings. 1831-1835. DOI: 10.1109/IJCNN.2007.4371236 |
0.649 |
|
2007 |
Paiva A, Park I, Principe JC. Innovating signal processing for spike train data Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 5431. DOI: 10.1109/IEMBS.2007.4353572 |
0.684 |
|
2006 |
Paiva AC, Príncipe JC, Sanchez JC. Gravity transform for input conditioning in brain machine interfaces. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 4261-4. PMID 17946616 DOI: 10.1109/IEMBS.2006.260507 |
0.54 |
|
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